Vivek Singhal, Phd. Email & Phone Number

Mohali District, Punjab, India

• Developed an AI-driven ensemble predictive forecasting model that accurately predicted the future load with 98% accuracy.
• Developed an algorithm that performs training data exemption in time series load forecasting model resulting in a 90-95% reduction in missing data errors.
• Optimized existing models through hyper parameter tuning and feature engineering processes.
• Achieved best accuracy results by validating model assumptions against real-world scenarios or domain knowledge.
• Optimized existing models through hyper parameter tuning and feature engineering processes

Mohali District, Punjab, India

• Worked alongside team members and leaders to identify analytical requirements and collect information to meet customer and project demands.
• Developed a predictive model that accurately forecasts load and solar generation with 90% accuracy using machine learning.
• Developed a deep learning model that accurately identifies objects in images with 95% accuracy.
• Collaborated with other scientists, ML engineers and program managers to identify and resolve data- related issues, resulting in a 5-7% improvement in data accuracy.
• Optimized existing deep learning models by tuning hyper parameters using grid search methods in Python environment for load forecasting.

Doctor Of Philosophy (Phd), Information And Communication Technology

Ph.D. (2011-17) from Indian Institute of Technology, Roorkee

Master Of Technology (M.Tech.), Computer Engineering, 9.38 Cgpa

M. Tech. (Computer & Engg.) (2009-2011) with 9.38 CGPA from Shobhit University, Meerut with dissertation on the topic “A Novel Congestion.

Bachelor Of Technology (B.Tech.), Computer Science, 71.94 %

B. Tech. (2001-2005) (Computer Science) from College of Engineering Roorkee (COER), Roorkee with 71.94% as aggregate.